Applied AI ML Analyst - Compliance Analytics

Job Responsibilities:

• Development and implementation of LLM-based solutions for compliance and risk management use cases.
• Assist in researching and applying LLM techniques to improve automation, document analysis, and risk detection in the CCOR domain.
• Work with team members and stakeholders to gather requirements and contribute to solution design.
• Communicate technical findings and project updates to both technical and non-technical audiences.
• Help maintain and enhance tools and processes for LLM model evaluation and optimization.

• Analyze data and model outputs to assess performance and suggest improvements.

  Required Qualifications and Skills:

• Master/Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Economics, Mathematics) or related field.
• 2+ years of experience in AI, with exposure to Machine Learning, LLMs or NLP technologies preferred.
• Programming skills in Python; familiarity with NLP libraries
• Understanding of language modeling concepts and general AI principles.
• Experience with data analysis and interpretation.
• Strong analytical and problem-solving skills, with the ability to communicate results clearly.

• Familiarity with data structures and algorithms is desirable.